Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.
The National Academies will convene a committee to organize a workshop on navigating the benefits and biosecurity risks of communicating studies involving the use of computational modeling and ...
The engineers and researchers highlighted in COMSOL News 2026 use COMSOL Multiphysics® to meet their development goals, push ...
The use of computational models of the human foot based on finite element analysis offers a promising alternative for understanding the biomechanical internal changes of this structure. However, the ...
Cancer immunotherapy, particularly immune checkpoint inhibitors (ICI), has fundamentally changed the landscape of oncology, offering the prospect of durable, long-term remission for patients with ...
Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...
When chemists design new chemical reactions, one useful piece of information involves the reaction's transition state—the point of no return from which a reaction must proceed. This information allows ...
This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...
Disturbances to the gut microbiome contribute to health conditions like inflammatory bowel disease (IBD). To better understand how those microbes interact with each other and their environment, ...
Welcome to the Computational Memory and Perception Lab at the University of Colorado Boulder, directed by Dr. Rosie Cowell. The lab is part of the Institute of Cognitive Science and is also associated ...
Researchers from MIT and the University of Michigan have discovered a new way to drive chemical reactions that could generate a wide variety of compounds with desirable pharmaceutical properties.
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